Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/4497
Title: Ghost in the Machine: A Symposium on Collaboration Between Human and Computerized Agents in Educational Contexts
Authors: Stadler, Matthias
Fischer, Frank
Graesser, Art
Papadopoulos, Pantelis M.
Radkowitsch, Anika
Schmidmaier, Ralf
Fischer, Martin
Li, Haiying
Hao, Jiangang
Greiff, Samuel
Issue Date: Jun-2019
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Stadler, M., Fischer, F., Graesser, A., Papadopoulos, P. M., Radkowitsch, A., Schmidmaier, R., Fischer, M., Li, H., Hao, J., & Greiff, S. (2019). Ghost in the Machine: A Symposium on Collaboration Between Human and Computerized Agents in Educational Contexts. In Lund, K., Niccolai, G. P., Lavoué, E., Hmelo-Silver, C., Gweon, G., & Baker, M. (Eds.), A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, 13th International Conference on Computer Supported Collaborative Learning (CSCL) 2019, Volume 2 (pp. 727-734). Lyon, France: International Society of the Learning Sciences.
Abstract: The importance of collaboration is growing in an era where knowledge-based tasks are increasingly accomplished by teams of people with complementary roles and expertise, as opposed to individuals doing isolated work. Moreover, the nature of collaboration is shifting to a more sophisticated skillset that includes accomplishing tasks through mediated interactions with peers halfway across the world or even computer-generated agents. The 4 papers presented in this symposium focus on this new opportunity of introducing computer-generated agents in collaboration as well as the challenges entailed. The presentations will cover a broad range of topics ranging from the assessment of collaborative problem-solving skills to the use of computer-generated agents in intelligent tutoring systems. In addition, they will illustrate the validity and practicability of various state-of-the-art approaches to introduce non-human collaborators into human collaboration.
URI: https://doi.dx.org/10.22318/cscl2019.727
https://repository.isls.org//handle/1/4497
Appears in Collections:CSCL 2019

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